Patient Care Begins With Accurate Patient Information
Melissa marries 30+ years of address expertise and contact data quality with AI to drive discovery in healthcare and life sciences. Our solutions clean up EMR/EHR records, and get data compliant and interoperable for greater use, better visualization and new insight. As a HIPAA/HITECH and SOC 2 Compliant solutions provider, we work hard to ensure the privacy and security of your mission-critical data. Work with us to:
Reduce operational costs & waste
Improve patient care & emergency preparedness
Realize new intellectual property & revenue from clinical practice data
Gain advanced insight & make new discoveries
Validate, correct and standardize patient contact data at point-of-entry – name, address, email and phone – to improve onboarding and minimize risk. Autocomplete addresses as you type.
Match, merge and purge duplicate patient records across households, facilities and time to minimize patient frustration, billing and claim errors, and legal liabilities.
Update the addresses of your customers as they move to ensure invoices arrive in a timely manner and claims are submitted with accurate patient information to avoid denials.
Add location intelligence like exact drive time and true distance between your patients or new subscribers and your facilities. Get geographic info for a better understanding of the areas you service.
Add precise demographic data to your records like age, sex, race and income to help ensure better resource allocation, patient care and public policy.
Check, verify, append and autocomplete pharmaceutical names, variants, dosages and spellings. Clean, connect and harmonize multiple datasets to create one unified resource. Enable clinical insight and discovery with machine reasoning.
Minimized labor costs
Fully-automated
contact data cleansing
Now catches
errors in real time
Easily integrated into
existing .NET and SQL processes
Used GeoCoder to
find nearby physicians in network
Chris Lloyd
Director of Database Services
"GeoCoder allows us to maintain multiple addresses for the same physician even when we are receiving and loading the data from more than one source. We use the mileage distance between addresses to write proprietary business rules to locate physicians that practice in multiple locations, and even across state borders."
Easy implementation
with SSIS
Used GeoCoder to find
nearby physicians in network
Better knowledge
of member locations
Reduced returned
mail costs
Osvaldo Cruz
Data Warehouse Architect
"Our main objective was to add value to the data produced for business users. Having conformed and integrated data is valuable, but the added value of recognizing valid addresses is significant. One of the cost-driven indicators is returned mail and missing communication with members."
